Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHOCQUE Paul | 71 |
| 2 | FOURNIER Amédée | 70 |
| 3 | LE GOFF Eugène | 63 |
| 4 | LEVEL Léon | 64 |
| 6 | JAMINET Pierre | 70 |
| 8 | SALAZARD Vincent | 74 |
| 9 | INTCIGARAY Jean-Baptiste | 81 |
| 10 | RENONCÉ Robert | 72 |
| 15 | BISTAGNE Clement | 82 |
| 18 | ROYER Rémy | 80 |
| 19 | RUOZZI Gabriel | 63 |
| 22 | GALATEAU Fabien | 76 |
| 24 | HALBOURG Louis | 77 |
| 25 | PHILIP Jean | 70 |
| 29 | DUCAZEAUX Sauveur | 65 |